Senior Solutions Architect, Global Energy & Utilities

Our team works with major energy customers to solve their most complex business challenges using AWS. We collaborate across sales, engineering, professional services, and support to help energy customers build and scale GenAI solutions that create measurable impact. We are investing in generative AI and agentic architectures, and we are looking for builders who want to shape how the energy industry adopts AI.

AWS values a range of experiences. Even if you do not meet all of the qualifications listed in the job description, we encourage candidates to apply. Whether your career is just starting, has followed a non-traditional path, or includes alternative experiences, we want to hear from you. You will find knowledge-sharing, mentorship, and career-advancing resources here, along with an inclusive team culture supported by employee-led affinity groups and learning experiences.

• 8+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience
• 3+ years of design, implementation, or consulting in applications and infrastructures experience
• 10+ years of IT development or implementation/consulting in the software or Internet industries experience
• 5+ years of infrastructure architecture, database architecture and networking experience
• Experience working with end user or developer communities
• Experience leading or developing high quality, enterprise scale software products using a structured system development lifecycle
• Knowledge of AWS services, market segments, customer base and industry verticals
• 5+ years of specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) experience

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave.

Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, FL, Miami – 153,600.00 - 207,800.00 USD annually

USA, FL, Virtual Location – Florida - 153,600.00 - 207,800.00 USD annually

• Work directly with energy customers to architect GenAI solutions, going deep on model selection, fine-tuning strategies, retrieval-augmented generation (RAG) architectures, agentic workflows, and MLOps to deliver production-ready outcomes.
• Develop go-to-market motions with the AWS energy team, creating reusable assets such as reference architectures, proofs of concept, and delivery accelerators that can be deployed across multiple customers.
• Present technical strategies to customer leadership and C-level executives, translating complex GenAI concepts into clear business value and actionable roadmaps.
• Create field enablement materials for the broader solutions architect community, helping them integrate GenAI solutions into customer architectures, and share best practices through blog posts, white papers, and public-speaking engagements at events like AWS Summit and AWS re:Invent.
• Act as a technical liaison between customers and AWS product teams, translating customer feedback into clear requirements that drive product improvements.

A day in the life

You might start your morning reviewing a RAG architecture design for an energy customer's document processing pipeline, refining the retrieval strategy to improve accuracy. By midday, you are co-architecting a GenAI proof of concept with a customer's technical team, walking through model selection trade-offs and building alignment on the deployment approach. Later, you present a solution strategy to customer leadership, then wrap up by packaging the reference architecture from a recent engagement into a reusable accelerator for the broader community.